# formula <- as.formula(y~z)
# rows <- 20
#
# dat <- data.frame(x = rnorm(rows),
# y = 1:rows,
# z = rnorm(rows),
# w = rnorm(rows))
#
#
# #^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
# # add noise ---------------------------------------------------------------
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAddNoise$new(x))$
# prep()$
# bake()
# frec$tidy()
# # add vars -----------------------------------------------------------------
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAddVars$new(x))$
# prep()$
# bake()
# frec$tidy()
#
# # constant drawdown-----------------------------------------------------------------
#
#
# m <- matrix(
# c(1.00000000E-05, 1.74747218E+02,
# 2.00000000E-05, 1.59975693E+02,
# 5.00000000E-05, 1.43771934E+02,
# 7.50000000E-05, 1.37572053E+02,
# 1.00000000E-04, 1.33478472E+02,
# 2.00000000E-04, 1.24525184E+02,
# 5.00000000E-04, 1.14347107E+02,
# 7.50000000E-04, 1.10345900E+02,
# 1.00000000E-03, 1.07669736E+02,
# 2.00000000E-03, 1.01717515E+02,
# 5.00000000E-03, 9.47776445E+01,
# 7.50000000E-03, 9.19964273E+01,
# 1.00000000E-02, 9.01189516E+01,
# 2.00000000E-02, 8.58921461E+01,
# 5.00000000E-02, 8.08722811E+01,
# 7.50000000E-02, 7.88319189E+01,
# 1.00000000E-01, 7.74450895E+01,
# 2.00000000E-01, 7.42944242E+01,
# 5.00000000E-01, 7.05003520E+01,
# 7.50000000E-01, 6.89416206E+01,
# 1.00000000E+00, 6.78765619E+01,
# 2.00000000E+00, 6.54399938E+01,
# 5.00000000E+00, 6.24740172E+01,
# 7.50000000E+00, 6.12452613E+01,
# 1.00000000E+01, 6.04022180E+01,
# 2.00000000E+01, 5.84628328E+01,
# 5.00000000E+01, 5.60817145E+01,
# 7.50000000E+01, 5.50886260E+01,
# 1.00000000E+02, 5.44050045E+01),
# ncol = 2, byrow = TRUE)
#
#
# formula <- formula(times~.)
# dat <- data.frame(times = m[,1])
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAquiferConstantDrawdown$new(time = times,
# drawdown = 10,
# thickness = 10,
# radius_well = 0.15,
# specific_storage = 1e-6,
# hydraulic_conductivity = 1,
# n_terms = 12L))$
# prep()$
# bake()
# frec$tidy()
#
#
# # grf ----------------------------------------------------------------
#
# dat <- data.frame(x = as.numeric(1:1e4),
# y = rep(0.01, 1e4))
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAquiferGRF$new(time = x,
# flow_rate = y))$
# prep()$
# bake()
# frec$tidy()
#
#
# # leaky --------------------------------------------------------------
# dat <- data.frame(x = as.numeric(1:1e4),
# y = rep(0.01, 1e4))
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAquiferLeaky$new(time = x,
# flow_rate = y))$
# prep()$
# bake()
# frec$tidy()
#
# # aquifer patch--------------------------------------------------------------
#
# dat <- data.frame(x = as.numeric(1:200),
# y = rep(0.01, 200))
# formula <- as.formula(y~x)
#
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAquiferPatch$new(time = x,
# flow_rate = 0.01,
# thickness = 1.0,
# radius = 100.0,
# radius_patch = 200.0,
# specific_storage_inner = 1e-6,
# specific_storage_outer = 1e-6,
# hydraulic_conductivity_inner = 1e-4,
# hydraulic_conductivity_outer = 1e-4,
# n_stehfest = 8L))$
# prep()$
# bake()
# frec$tidy()
#
# # theis ---------------------------------------------------------------
#
# dat <- data.frame(x = as.numeric(1:1e4),
# y = rep(0.01, 1e4))
#
# frec = hydrorecipes:::Recipe$new(formula = formula, data = dat)$
# add_step(hydrorecipes:::StepAquiferTheis$new(time = x,
# flow_rate = y))$
# prep()$
# bake()
# frec$tidy()
# # baro acworth --------------------------------------------------------------
# data("kennel_2020")
#
# # synthetic earthtide
# latitude <- 34.23411 # latitude
# longitude <- -118.678 # longitude
# elevation <- 500 # elevation
# cutoff <- 1e-5 # cutoff
# catalog <- 'ksm04' # hartmann wenzel catalog
# astro_update <- 300 # how often to update astro parameters
# method <- 'volume_strain' # which potential to calculate
#
# wave_groups_dl <- as.data.table(earthtide::eterna_wavegroups)
# wave_groups_dl <- na.omit(wave_groups_dl[time == '1 month'])
# wave_groups_dl <- wave_groups_dl[wave_groups_dl$start > 0.5,]
# wave_groups_dl <- wave_groups_dl[, list(start, end)]
# ngr <- nrow(wave_groups_dl)
#
#
# frec = hydrorecipes:::Recipe$new(formula = wl~baro+datetime, data = kennel_2020)$
# add_step(hydrorecipes:::StepEarthtide$new(datetime,
# wave_groups = wave_groups_dl,
# latitude = latitude,
# longitude = longitude,
# elevation = elevation,
# cutoff = cutoff,
# catalog = catalog))$
# plate('dt')
#
# # frec[, wl := lm(wl~datetime)$residuals]
# # frec[, baro := lm(baro~datetime)$residuals]
# # frec[, earthtide := lm(earthtide~datetime)$residuals]
#
# # frec[, wl := wl - baro]
# # frec2 = hydrorecipes:::Recipe$new(formula = wl~baro+datetime+earthtide, data = frec)$
# # add_step(hydrorecipes:::StepBaroAcworth$new(water_level = wl,
# # baro = baro,
# # earth_tide = earthtide,
# # spans = 3))$
# # prep()$
# # bake()
# #
# #
# # frec2 = hydrorecipes:::Recipe$new(formula = wl~baro+datetime+earthtide, data = frec)$
# # add_step(hydrorecipes:::StepBaroRau$new(water_level = wl,
# # baro = baro,
# # earth_tide = earthtide,
# # time = datetime))$
# # prep()$
# # bake()
#
#
# # earthtide --------------------------------------------------------------
#
#
# frec = hydrorecipes:::Recipe$new(formula = wl~baro+datetime, data = kennel_2020)$
# add_step(hydrorecipes:::StepEarthtide$new(datetime,
# wave_groups = wave_groups_dl,
# latitude = latitude,
# longitude = longitude,
# elevation = elevation,
# cutoff = cutoff,
# catalog = catalog))$
# prep()$
# bake()
# frec$tidy()
#
#
# frec = hydrorecipes:::Recipe$new(formula = wl~baro+datetime, data = kennel_2020)$
# add_step(hydrorecipes:::StepEarthtide$new(datetime,
# do_predict = FALSE,
# wave_groups = wave_groups_dl,
# latitude = latitude,
# longitude = longitude,
# elevation = elevation,
# cutoff = cutoff,
# catalog = catalog))$
# prep()$
# bake()
# frec$tidy()
# # ----------------------------------------------------------------------
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